Deepak Bisht

About Deepak Bisht

I specialize in building scalable ETL pipelines, reconciliation engines, and AI-powered fraud detection systems that ensure data integrity, compliance, and trust across millions of financial transactions. With 2+ years in fintech data engineering, I bridge Data Engineering, Audit, and AI Analytics to deliver secure, production-grade systems.Core Expertise• Data Engineering: Python, PySpark, Polars, Pandas, SQL, SQLAlchemy, MySQL, AWS Glue• ETL Pipelines & Automation: scalable pipelines, independent transform/load phases• Audit & Reconciliation: payment gateway settlements, bank reports, gift card systems• Fraud & Anomaly Detection: AI-driven checks, outlier detection, fuzzy matching, fraud analytics• Analytics & Visualization: Power BI, Plotly Dash, compliance dashboardsKey Achievements Engineered a reconciliation engine processing 5M+ transactions daily, improving speed by 70% Automated AI-based fraud detection → 40% more anomalies captured with real-time alerts Built ETL pipelines with true parallelism, reducing latency by 30% on large-scale data flows Delivered real-time audit dashboards, cutting investigation time and strengthening compliance oversightI thrive at creating audit-ready, fraud-proof, and analytics-driven systems that merge engineering precision with AI intelligence. Always eager to tackle projects that push the boundaries of automation, compliance, and financial data integrity.

Experience

1. Business Analyst

   Benepik

   Jun 2023 — Present · Gurugram, IN

   Automated ETL pipelines using PySpark on AWS Glue (S3 ↔ RDS/Aurora/Redshift), replacing manual Excel workflows with daily pipelines → 30× faster reporting and 90% less manual effort.• Engineered AI-driven reconciliation engine (Python, Polars, Pandas) with anomaly detection + fuzzy matching → 35% more anomalies detected and improved compliance accuracy.• Developed fraud detection framework (rule-based + anomaly detection in PySpark) for settlements, refunds, and disputes → 99.9% settlement accuracy and proactive high-risk account alerts.• Built interactive dashboards (Power BI, Django, Plotly Dash) for anomaly tracking, refunds & disputes → enabled real-time decision-making for compliance and finance teams.• Designed audit lifecycle framework mapping client → employee → platform → merchant → user, with automated audit trails, data quality scoring, and anomaly alerts → strengthened governance.• Automated compliance & exception reports, cutting review workload by 40% and reducing resolution time by 25%.• Collaborated with finance, compliance, and product teams to translate business rules into scalable, production-ready workflows.

Education

• Babasaheb Bhimrao Ambedkar University

  Integrated BSC - MSc Basic Science

  2018 — 2023